Role overview

Qualifications

Master's Degree in a related field, or equivalent experience
Extensive experience in applying statistical methods and analytical tools
Expert skill in interpreting and modeling data for statistical research
Advanced knowledge of data warehousing and ETL tools

Responsibilities

Perform complex analytical and statistical modeling on large data sets
Define data requirements, perform data collection, processing, and analysis
Identify data patterns and trends to improve decision making
Design, develop, and maintain advanced reporting and dashboards

Key facts

Remote from: United States
Full time
Data Engineer
English

Hard skills

Statistical Modeling SQL (Programming Language) Data Visualization Data Cleansing Data Structures Business Intelligence Root Cause Analysis Power BI

Other skills

Forecasting
Communication
Problem Solving
Mentorship

About the company

Georgia IT, Inc.

Georgia IT, Inc. provides IT Consulting for a wide range of IT services and custom build turn-key enterprise solutions. GIT specializes in improving business scalability and efficiency through BSM and SBA Solutions. GIT transforms business with service management and service automation solutions. We are BMC & HP partners. GIT Services include custom built enterprise software and customer-centric web portals, network design and implementation, remote and site-to-site VPN, network and server security assessment and setup, server and desktop virtualization, and many others. GIT also provides IT Consulting in many areas such as Disaster Recovery Planning, Enterprise Data Backup Strategy, Long Term Strategic IT Planning and Augmentation Professional Services Solutions. Professional Services Specialties: Business Process Integration, Software Integration & Development, Web portal, Networking, Remote and site-to-site VPN, Virtualization Solutions, Product Development Please contact us Hrus@georgiait.com / uthay@georgiait.com/470-798-5000 x 1010 / (732) 890-2535 direct

Company details

Company size51 - 200

Links

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Job description

Title: Digital Data Support Engineer
Location: 100% Remote
Duration: Long-term Contract
Work Eligibility: US Permanent Eligibility to Work Required

Job Description:

Perform complex analytical and statistical modeling on large data sets to support various business operations and organizational objectives.
Define data requirements, perform data collection, processing, cleaning, analysis, modeling and visualization.
Identify data patterns and trends to answer business questions and improve decision making.
Identify opportunities to increase efficiency and automation of data analysis processes and procedures.
Leads the most complex data analysis with minimal supervision and wide latitude for independent judgment.
Individual contributor and mentor to more junior staff.
Design, develop, maintain, and manage highly advanced reporting, dashboards, data models and analytical results of significant impact.
Evaluate and define functional requirements for analytics and business intelligence (BI) solutions
Retrieve, analyze and validate data and test accuracy of reported results.
Work directly with project leads to understand requirements and propose key analytics solutions to drive effective decision-making and influence business objectives.
Produce actionable reports that demonstrate key performance indicators, identify areas of improvement for current operations, and show root cause analysis of problems.
Analyze and summarize business operations, customer and/or economic data in order to improve business intelligence, optimize operating effectiveness and predict business outcomes.
Identify trends and patterns in business data; create data visualizations to support business decision making.
Build new and/or modify existing database/data warehouse/data mart and business intelligence solutions to meet business and system requirements.
Collaborate with business units and senior management to conduct needs assessment to support business unit objectives.
Provides input on highly complex Data Science and Big Data projects.
Effectively communicate findings and insight to stakeholders and provide business strategy recommendations for optimizing business performance.
Lead, guide, and mentor less experienced staff; Direct the work of others as needed.
Perform other duties as assigned.

Qualifications:

Master's Degree in a related field, or the equivalent combination of training, education and experience.
Extensive experience in the application of statistical methods, mathematical techniques, forecasting, cost- benefit analysis, related analytical tools and programming languages.
Expert skill interpreting, extrapolating and interpolating data for statistical research and modeling
Extensive experience in problem resolution including determining root cause, scope and scale of issues.
Expert skill analyzing statistics and reports to determine business performance and trends.
Extensive experience that demonstrates the ability to research, compile, and document data, business processes, and workflow.
Expert skill identifying and analyzing business requirements and recommending solutions.
Effective skill presenting findings, conclusions, alternatives, and information clearly and concisely.
Expert knowledge of standard ETL tools and techniques.
Expert knowledge of the process in sourcing raw data and cleansing techniques.
Expert knowledge of emerging trends and influences best practices within discipline.
Advanced knowledge of data warehousing, data cleaning, and other analytical techniques required for data usage.
Expert in understanding and communicating data presented in models, charts, and tables and transforming it into a format that is useful to the business and aids effective decision making.
Expert skill in the use of measurement and statistical practices to analyze current and historical data to make predictions, identify risks, and opportunities enabling better decisions on planned/future events.
Expert in understanding and analyzing models that predict the probability of an outcome
Expert knowledge of and the ability to perform basic statistical analysis such as measures of central tendency, normal distribution, variance, standard deviation, basic tests, correlation, and regression techniques.
Expert skill in collecting and manipulating data used in effective decision making.
Expert knowledge of data models, design tools, business/technical requirements, statistical programming languages, data queries.
Demonstrates a key understanding of multiple database concepts and data flows.
Expert knowledge of various data structures and the ability to extract data sources (such as PySpark, PowerBI).
Advanced knowledge of mapping techniques and data pipelines.
Expert SQL skills.
Advanced verbal and written communication skills.
Advanced database and presentation software skills.
Advanced word processing and spreadsheet software skills.